NextModel Magyarorszag · production gateway · OpenAI-kompatibilis

All models.One API.

Kezeld az AI API-koltseget egy OpenAI-kompatibilis hosted API-n keresztul magyar csapatoknak. A misses a valodi upstreamet hivja, az ellenorzott Exact cache replay kedvezmenyesen szamlazodik, a nyugtak pedig lathatova teszik a koltseget SDK-integracio ujrairasa nelkul.

prompt: "Valasszon modellt ehhez a workloadhoz."
anclaude-sonnet-4-51.2s
koltseg: $0.00321
opgpt-4o-mini0.6s
koltseg: $0.00012
gogemini-2-5-flash0.5s
koltseg: $0.00008
dedeepseek-v30.9s
koltseg: $0.00037
Requests / sec42,891
Lowest input$0
Model sources126 / growing
Gateway statusOK

Kinek szol

Valodi API-forgalmat kezelo fejlesztoknek es kis csapatoknak keszult.

Ha a tokenkoltseget, az ismetlodo kerelmeket es az integralasi sebesseget figyeled, ez a hosted API reteg a meglévo SDK-d felett.

NextModel turns Fresh calls, exact-cache discounts, and receipts into one visible control layer above the SDK. That gives developers a place to keep unit economics honest and adopt a hosted API without reworking the app.

OpenAI migrationsKeep the SDK

Change base_url and compare providers without reworking the call shape.

Growing spendSee cost early

See the difference between Fresh and Exact cache before traffic multiplies.

ReceiptsVisible facts

Each request can expose served mode, usage source, and receipt links.

Rovid valasz

Mi az a NextModel?

A NextModel egy OpenAI-kompatibilis hosted API fejlesztoknek es kis csapatoknak, akik egy helyen akarjak kezelni a Fresh fallbacket, az Exact cache kedvezmenyeket es az atlathato nyugtakat, mielott a modellkoltseg no.

Teams use NextModel when they want a compatible hosted API without losing visibility into billing facts. The gateway keeps the familiar OpenAI SDK shape while adding transparent pricing context, exact-cache reuse, and receipts.

tamogatott modelforrasok · nem hivatalos partnersegek
anAnthropicopOpenAIgoGooglevoVolcenginealAlibaba ClouddeDeepSeekopOpenRoutermoMoonshotanAnthropicopOpenAIgoGooglevoVolcenginealAlibaba ClouddeDeepSeekopOpenRoutermoMoonshot
miert nextmodel

Egy gateway.
Legyen lathato a koltes, a policy es a forras.

Emelje ki a modellvalasztast, a koltsegkeretek szabalyait, a forrasok osszehasonlitasat es a hasznalati riportokat az alkalmazaskodbol. Az API ismeros marad, mikozben a dontesi reteg lathatova valik a termek- es platformcsapatoknak.

01 · one sdk

OpenAI SDK, many model sources.

Already using OpenAI? Change base_url, keep chat completions, streaming, tools, and JSON-oriented workflows.

pythonnodecurl
client = OpenAI(
    base_url="https://api.nextmodel.app/v1",
    api_key=os.environ["NM_KEY"],
)

client.chat.completions.create(
    model="claude-sonnet-4-5",
    messages=[...],
)
02 · routing

Policies before production traffic.

Route by workload, source, budget, latency, or capability instead of scattering rules across services.

03 · billing

Spend by key, project, and team.

See which application paths drive token cost and turn model selection into an operational decision.

api.web$353 · 42%agent.eval$235 · 28%rag.ingest$151 · 18%dev$101 · 12%
04 · price

Compare the gap before calling.

GPT-4o mini$0.15
Doubao Mini$0.20
Gemini Flash$0.30
DeepSeek R1$0.70
Gemini Pro$1.25
Claude Sonnet$3.00
05 · governance

Budget-aware model operations.

Bring your own keys, assign project limits, and keep a clear audit trail for model API spend.

42 models
tracked dimensionsproject · key · source
policy layerbudgets · providers
SDK modeOpenAI-compatible
06 · regions

Domestic + global, one endpoint.

Compare Chinese and global model sources from one interface without implying official provider partnership.

elo modellgraf

126 modell,
egy shortlist.

Egyetlen endpoint modell-osszehasonlitashoz. Nezze meg az arat, a becsult kesleltetest, a provider forrasat es a workloadhoz valo illeszkedest, mielott termelesi forgalmat routol.

Dodoubao--doubao-...Dodoubao--doubao-...Dodoubao--doubao-...Dodoubao--doubao-...Dodoubao--doubao-...Dodoubao--doubao-...Drdreamina--dream...Drdreamina--dream...Drdreamina--dream...Gegemini--gemini-...
api.nextmodel.app

Gyorsinditas

Harom lepes egy meglevo SDK-tol a lathato koltseg-szabalyozasig.

LepesAPI kulcs letrehozasa

Adjon ki egy kulcsot a projekthez, kornyezethez vagy munkaterheleshez, amit nyomon szeretne kovetni.

Lepesbase_url

Allitsa az OpenAI SDK alap URL-jet https://api.nextmodel.app/v1 ertekre.

LepesModellek hivasanak megkezdese

Hasznaljon egy modell azonositot a katalogusbol, majd hasonlitsa ossze a koltseget es a kimenet minoseget.

Koltsegiranyitas

Tartsd lathatoan a Fresh, cache es nyugta reteget, mielott a koltseg no.

This is the layer developers and small teams need once request volume and spend start to grow.

Usage analyticsProject + key

Understand which applications and environments are driving model spend.

Billing semanticsFresh + Exact

See which requests hit the real upstream and which were safely replayed.

Transparent workflows

  • Send requests through one OpenAI-compatible interface.
  • Misses call the real upstream model.
  • Exact cache hits are replayed with discounted billing.
  • Use receipts and usage exports to reconcile what happened.

Dokumentacio CTA

Masoljon egy mukodo keresi Python, Node vagy curl nyelven.

Python
from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://api.nextmodel.app/v1"
)

resp = client.chat.completions.create(
    model="doubao-seed-2-0-mini",
    messages=[{"role": "user", "content": "Hello from NextModel"}]
)

print(resp.choices[0].message.content)
Node
import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.NEXTMODEL_API_KEY,
  baseURL: "https://api.nextmodel.app/v1",
});

const response = await client.chat.completions.create({
  model: "doubao-seed-2-0-mini",
  messages: [{ role: "user", content: "Hello from NextModel" }],
});

console.log(response.choices[0].message.content);
curl
curl https://api.nextmodel.app/v1/chat/completions \
  -H "Authorization: Bearer $NEXTMODEL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "doubao-seed-2-0-mini",
    "messages": [{"role": "user", "content": "Hello from NextModel"}]
  }'

Uj benchmark

Mielott bekapcsolja a gyorsitotarat, merje meg, hogy az ujrafelhasznalas biztonsagos-e.

A CacheSafety Bench ellenorzi a biztonsagos talalati aranyt, a rossz talalati aranyt, a szemantikai csapdahibakat es a koltsegmegtakaritast, mielott a csapatok megbiznak egy gyorsitotar-retegben.

A CacheSafety Bench segit a csapatoknak osszehasonlitani a biztonsagos talalati aranyt, a rossz talalati aranyt, a szemantikai csapdahibakat es a koltsegmegtakaritast, mielott eles kornyezetben megbiznanak egy gyorsitotar-retegben.

Benchmark felfedezese

Kezdje most

Valassza ki a modellt, majd iranyitsa a koltsegeket.

Nyissa meg a gyorsinditast, masoljon egy keresit, es hasonlitsa ossze a valos munkaterheleset a Fresh es Exact cache arakkal.